JSON (JavaScript Object Notation) is a lightweight data format that is used to transfer data between servers and clients. Python is a high-level programming language that has built-in support for handling JSON data. In this article, we will discuss how to load a JSON file into a dictionary in Python.
What is a Dictionary?
A dictionary is an unordered collection of key-value pairs, where each key maps to a value. In Python, dictionaries are defined by enclosing a comma-separated list of key-value pairs in curly braces ({}). For example, the following is an example of a dictionary in Python:
```my_dict = {\"name\": \"John\", \"age\": 25}```Loading JSON Data into a Dictionary
Python's built-in json
module provides methods for handling JSON data, including loading JSON data into a Python object. To load a JSON file into a dictionary, follow these steps:
- Import the
json
module ``` import json ``` - Open the JSON file using the
open()
function. ``` with open('data.json', 'r') as f: data = f.read() ``` - Call the
loads()
function of thejson
module to parse the JSON data and convert it into a Python object. ``` my_dict = json.loads(data) ``` - The resulting object is a dictionary that contains the data from the JSON file.
Example
Let's say we have the following JSON file named data.json
:
We can load this data into a dictionary in Python using the following code:
```import jsonwith open('data.json', 'r') as f: data = f.read()my_dict = json.loads(data)print(my_dict)```The output of this code will be:
```{ \"name\": \"John\", \"age\": 25, \"address\": { \"street\": \"123 Main St\", \"city\": \"Anytown\", \"state\": \"CA\", \"zip\": 12345 \"phone_numbers\": [ \"555-1234\", \"555-5678\" ]}```Conclusion
Python's built-in support for handling JSON data makes it easy to load JSON data into a dictionary. By following the steps outlined in this article, you can easily convert JSON data into a Python dictionary and use it in your Python programs.
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